Journal ArticleDOI
ECG data compression techniques-a unified approach
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TLDR
The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.Abstract:
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods. A framework for evaluation and comparison of ECG compression schemes is presented. >read more
Citations
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Journal ArticleDOI
A 2D electrocardiogram data compression method using a sample entropy-based complexity sorting approach
TL;DR: An effectual sample entropy (SampEn) based complexity sorting pre-processing technique for two dimensional electrocardiogram (ECG) data compression that demonstrates significantly better performance in comparison to the contemporary state-of-the-art works present in the literature.
Proceedings ArticleDOI
A multichannel template based data compression algorithm
TL;DR: A method is presented which improves ABS algorithm, in order to achieve a better compression ratio as well as faster processing of ECG signals.
An Optimized Transform for ECG Signal Compression
TL;DR: A comparative study of transform based approach for ECG signal compression usingadaptive threshold is used on the transformed coefficients and further improvement in the CR is possible by efficient entropy coding.
Patent
System for compression of physiological signals
TL;DR: In this paper, a method of optimizing retention of signal information from a physiologically generated digital signal is provided, which can comprise steps of generating a digital signal from a physiological source, storing the digital signal into a memory location as a stored digital signal, identifying within the stored digital signals a preferred digital signal event exclusive of a non-preferred digital signals event, detecting a memory storage limitation in the memory location, and increasing the second event compression level of the non-priori digital signals events as a result of detecting a storage limitation.
Journal ArticleDOI
ECG Compression and Labview Implementation
TL;DR: Compared with various ECG compression techniques like TURNING POINT, AZTEC, CORTES, FFT and DCT it was found that DCT is the best suitable compression technique with compression ratio of about 100:1.
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